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Alternate fluency in Parkinson's disease: A machine learning analysis.

Roberta FerrucciFrancesca MameliFabiana RuggieroMariella ReitanoMario MiccoliAngelo GemignaniCiro ConversanoMichelangelo DiniStefano ZagoSilvie PiacentiniBarbara PolettiAlberto PrioriGraziella Orrù
Published in: PloS one (2022)
We found that ML analysis of semantic and phonemic verbal fluency may be used to identify simple rules with high accuracy and good out of sample generalization, allowing the detection of executive deficits in patients with PD.
Keyphrases
  • machine learning
  • working memory
  • traumatic brain injury
  • artificial intelligence
  • loop mediated isothermal amplification
  • big data
  • data analysis